DebugIT

In about half a century of antibiotic use, unexpected new challenges have come to light: fast emergence of resistances among pathogens, misuse and overuse of antibiotics; direct and indirect related costs. Antimicrobial resistance results in escalating healthcare costs, increased morbidity and mortality and the emergence or reemergence of potentially untreatable pathogens.

In this context of infectious diseases DebugIT project will (1) detect patient safety issues, (2) learn how to prevent them and (3) actually prevent them in clinical cases. Harmful patterns and trends using clinical and operational information from Clinical Information Systems (CIS) will be detect. This will be done through the 'view' of a virtualised Clinical Data Re-pository (CDR), featuring, transparent access to the original CIS and/or collection and aggregation of data in a local store. Text, image and structured data mining on individual patients as well as on populations will learn us informational and temporal patterns of patient harm.

This knowledge will be fed into a Medical Knowledge Repository and mixed with knowledge coming from external sources (for example guidelines and evidences). After editing and validating, this knowledge will be used by a decision support and monitoring tool in the clinical environment to prevent patient safety issues and report on it.

Outcomes and benefits, both clinical and economical will be measured and reported on. Innovation within this project lays in the virtualisation of Clinical Data Repository through ontology mediation, the advanced mining techniques, the reasoning engine and the consolidation of all these techniques in a comprehensive but open framework. This framework will be implemented, focused on infectious diseases, but will be applicable for all sorts of clinical cases in the future.

For further information, please visit:
http://www.debugit.eu

Project co-ordinator:
Agfa HealthCare (Belgium)

Partners:

  • empirica
  • Gama Sofia Ltd.
  • Institut National de la Santé et de Recherche Medicale
  • Internetový Pristup Ke Zdravotním Informacím Pacienta
  • Linköping University
  • Technological Educational Institute of Lamia
  • University College London
  • University Hospital of Geneva
  • University Medical Center Freiburg
  • University of Geneva

Timetable: from 01/2008 – to 12/2011

Total cost: €8.364.796

EC funding: €6.414.915

Programme Acronym: FP7-ICT

Subprogramme Area: Advanced ICT for risk assessment and patient safety

Contract type: Collaborative project (generic)


Related news article:

Most Popular Now

NHS Lanarkshire Launches Digital pre-Ope…

NHS Lanarkshire has launched an electronic pre-operative assessment platform to support the delivery of next generation care pathways for its patients. Working with Buddy Healthcare, the hospital Board has launched "ELSIE...

ANregiomed Puts Siemens Healthineers and…

This new technology partnership kicked off September 1, 2022, marks the first time that Siemens Healthineers is collaborating with a municipal medical service provider to implement a concept it has...

Consortium to Develop Fully Implantable …

A research consortium led by the UMC Utrecht Brain Center (the Netherlands) in collaboration with Graz University of Technology (Austria), the Wyss Center for Bio and Neuroengineering (Switzerland) and CorTec...

AI Model Outperforms Clinicians in Diagn…

An artificial-intelligence (AI) model built at Mass Eye and Ear was shown to be significantly more accurate than doctors at diagnosing pediatric ear infections in the first head-to-head evaluation of...

Creating the Digital Health Workforce of…

How are trusts and health tech suppliers going to find the people they need to develop deploy and optimise critical clinical information systems in the future? Highland Marketing's advisory board...

AI Tool could Reduce Common Drug Side Ef…

Research led by the University of Exeter and Kent and Medway NHS and Social Care Partnership Trust, published in Age and Ageing, assessed a new tool designed to calculate which...

Philips Foundation and RAD-AID Internati…

Philips Foundation, with its mission to provide access to quality healthcare for 100 million people a year in underserved communities by 2030, together with Philips and RAD-AID International, today announced...

New Tool Overcomes Major Hurdle in Clini…

Harvard Medical School scientists and colleagues at Stanford University have developed an artificial intelligence (AI) diagnostic tool that can detect diseases on chest X-rays directly from natural-language descriptions contained in...

CHOP Study Explores the Use of Telemedic…

Researchers from the Epilepsy Neurogenetics Initiative (ENGIN) at Children's Hospital of Philadelphia (CHOP) found that across nearly 50,000 visits, patients continued to use telemedicine effectively even with the reopening of...

A Smartphone's Camera and Flash could He…

First, pause and take a deep breath. When we breathe in, our lungs fill with oxygen, which is distributed to our red blood cells for transportation throughout our bodies. Our bodies...